We deliver AI-driven predictive maintenance and smart process optimization solutions for semiconductor and display manufacturing, enabling early failure detection, reduced downtime, and maximized operational efficiency
NeXGenAiCore™
Core Features
Ensemble ML Engine
LSTM, Transformer, XGBoost, Random Forest — unified inference pipeline
Edge + Cloud Hybrid
On-premise edge deployment with optional cloud sync and remote dashboard
Multi-Protocol Ingestion
OPC-UA, MQTT, Modbus TCP, EtherCAT, RS-485 out of the box
Intelligent Predictive Maintenance & Risk Index System
Failure Prediction Multi-modal anomaly detection with component-level RUL estimation
Technical Specifications
· Inference Latency < 50 ms (edge) · Supported Protocols OPC-UA · MQTT · Modbus · EtherCAT · Deployment Mode Edge / On-premise / Hybrid Cloud · API Interface REST API · Python SDK · OS Support Ubuntu 20.04+ · RHEL 8+ · Integration MES · SCADA · ERP ready
· Inference Latency < 50 ms (edge) · Supported Protocols OPC-UA · MQTT · Modbus · EtherCAT · Deployment Mode Edge / On-premise / Hybrid Cloud · API Interface REST API · Python SDK · OS Support Ubuntu 20.04+ · RHEL 8+ · Integration MES · SCADA · ERP ready
NeXZenSys™
Equipment Data Acquisition & Real-Time Control System & AI Ensemble-Based Intelligent Auto-Control Scheduler
Multi-Sensor DAQ
Vibration, temperature, pressure, current, voltage — up to 512 channels
Real-Time Dashboard
Live KPIs, trend charts, heatmaps — zero config after device onboarding
Historical Data Lake
Time-series storage with fast replay and export (CSV / Parquet)
Ensemble Scheduling
Multi-model consensus for optimal equipment run/maintenance scheduling
PM Integration
Automatically reschedules around NeXZenPredict risk events
Constraint Engine
Production targets, maintenance windows, crew availability — all in one solver
Technical Specifications
· Sampling Rate Up to 25.6 kSps per channel · Max Channels 512 (expandable) · Data Retention Configurable (default 2 years) · Dashboard Latency < 1 s refresh · Alert Types Threshold · Rate-of-change · Pattern · Export Formats CSV · Parquet · JSON
· Scheduling Horizon 24 h – 90 days · Optimizer Type Ensemble (GA + RL + LP) · Re-schedule Trigger Risk index · Manual · Cron · Equipment Types Semiconductor · Display FAB · Output Format Gantt · Calendar · API JSON · MES Integration REST push / pul
NeXZenTwin™
Self-Evolving Digital Twin with Causal Network Cascade Prediction
Planned Features
Self-Evolving Model
Digital twin autonomously updates its physics and ML model from live sensor data
Causal Network Engine
Identifies inter-process failure propagation paths across multi-step fab flows
Cascade Failure Forecast
Predicts downstream failure chains before they reach production-critical assets
Target Specifications
· Twin Fidelity Physics-informed ML hybrid · Causal Graph Depth Up to 10 process steps
